A Signal Detection and Estimation Method Based on Compressive Sensing 


Vol. 40,  No. 6, pp. 1024-1031, Jun.  2015


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  Abstract

Compressive sensing is a new data acquisition method enabling the reconstruction of sparse or compressible signals from a smaller number of measurements than Nyquist rate, as long as the signal is sparse and the measurement is incoherent. In this paper, we consider a simple hypothesis testing in target detection and estimation problems using compressive sensing, where the performance depends on the sparsity level of the signals being detected. We provide theoretical analysis results along with some experiment results.

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  Cite this article

[IEEE Style]

T. L. N. Nguyen, H. Jung, Y. Shin, "A Signal Detection and Estimation Method Based on Compressive Sensing," The Journal of Korean Institute of Communications and Information Sciences, vol. 40, no. 6, pp. 1024-1031, 2015. DOI: .

[ACM Style]

Thu L. N. Nguyen, Honggyu Jung, and Yoan Shin. 2015. A Signal Detection and Estimation Method Based on Compressive Sensing. The Journal of Korean Institute of Communications and Information Sciences, 40, 6, (2015), 1024-1031. DOI: .

[KICS Style]

Thu L. N. Nguyen, Honggyu Jung, Yoan Shin, "A Signal Detection and Estimation Method Based on Compressive Sensing," The Journal of Korean Institute of Communications and Information Sciences, vol. 40, no. 6, pp. 1024-1031, 6. 2015.

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pISSN : 1226 - 4717
eISSN : 2287 - 3880